本课程介绍 Google Cloud 的 AI 和机器学习 (ML) 能力，重点讲解如何开发生成式和预测式 AI 项目。本课程将探讨“数据到 AI”全生命周期中的多种技术、产品和工具，并通过互动练习帮助数据科学家、AI 开发者和机器学习工程师提升专业能力。
Introduction to AI and Machine Learning on GC - 简体中文
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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
了解 Google Cloud 提供的“数据到 AI”技术和工具。
使用多模态 Gemini、高效提示和 AI 智能体构建器来构建生成式 AI 项目。
在多种 Google Cloud 产品选项之间进行选择，以开发 AI 项目。
使用 Vertex AI 创建端到端机器学习模型。
Skills you'll gain
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Assessments
4 assignments
Taught in Chinese (Simplified)
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There are 6 modules in this course
本课程将引导学员了解课程结构，该结构基于三层 AI 框架：AI 基础设施、AI 开发和 AI 解决方案。本单元概述学习目标，并向学员介绍 Google 全面的全栈 AI 开发工具套件。
What's included
1 video
本单元首先通过一个应用场景展示 AI 的功能。随后重点介绍计算、存储等 AI 基础设施。另外，还将介绍 Google Cloud 上的主要数据和 AI 开发产品。最后，本单元将演示如何使用 BigQuery ML 构建机器学习模型，从而帮助完成“数据到 AI”的转化。
What's included
7 videos1 reading1 assignment1 app item
本单元介绍 AI 领域的最新进展 - 生成式 AI，以及用于开发生成式 AI 项目的 Google Cloud 工具包。首先将介绍基础模型。随后将讲解如何借助 Vertex AI Studio 理解“从提示到落地”的完整生命周期，包括提示工程、应用部署和模型调优。此外，本单元还将探索 AI 智能体，以及 Google 的全栈 AI 智能体开发工具。
What's included
8 videos1 reading1 assignment1 app item
本单元探索在 Google Cloud 上开发 AI 项目的多种选项，包括预训练 API 等现成解决方案、AutoML 等无代码/低代码解决方案，以及自定义训练等基于代码的解决方案。本单元还将比较各选项的优缺点，帮助您选择合适的开发工具。
What's included
7 videos1 reading1 assignment1 app item
本单元介绍机器学习工作流，内容涵盖数据准备、模型开发以及在 Vertex AI 上进行模型部署。此外，本单元还阐明了如何使用 Vertex AI Pipelines 将工作流转化为自动化流水线。
What's included
8 videos1 reading1 assignment1 app item
本单元将回顾本课程各单元中最重要的概念、工具、技术和产品，对课程内容进行总结。
What's included
1 video2 readings
Instructor
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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